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Updated: Apr 26, 2026

Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092

Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092

Published on: October 2, 2017

Using structure to inform carbohydrate binding module function.

D Wade Abbott¹, Alicia Lammerts van Bueren²

¹Lethbridge Research Centre, Agriculture and Agri-Food Canada, 5403-1st Ave, Lethbridge, AB, Canada T1J4B1.

Current Opinion in Structural Biology

|August 10, 2014

Summary

This summary is machine-generated.

Determining carbohydrate-binding module (CBM) specificity is challenging. This review explores sequence-based methods and biophysical characterization to understand CBM function and predict new carbohydrate-active enzyme (CAZyme) roles.

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Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions

Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions

Published on: January 20, 2022

Area of Science:

Biochemistry
Structural Biology
Bioinformatics

Background:

Non-catalytic carbohydrate-binding modules (CBMs) typically mirror the specificity of their appended carbohydrate-active enzyme (CAZyme) domains.
The discovery of novel CBM families with diverse functions complicates specificity determination.
Elucidating CBM function is crucial due to the expanding sequence space from metagenomics.

Purpose of the Study:

To review methods for predicting CBM specificity using primary structure.
To discuss strategies for streamlining CBM biophysical characterization.
To highlight new CBM functions and binding site trends.

Main Methods:

Review of sequence-based prediction approaches for CBM specificity.
Summary of biophysical techniques for CBM characterization.
Analysis of CBM binding site architecture and functional data.

Main Results:

Several sequence-based strategies can inform CBM specificity.
Biophysical characterization methods can be streamlined for efficiency.
New CBM functions and diverse binding site architectures have been identified.

Conclusions:

Predictive tools for CBM specificity require further development.
Understanding CBMs is essential for advancing CAZyme research.
Future research should focus on refining sequence-based prediction models.